/**
 * Copyright 2020-2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_OPS_APPLY_ADAM_WITH_AMSGRAD_V2_IMPL_CUH_
#define MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_OPS_APPLY_ADAM_WITH_AMSGRAD_V2_IMPL_CUH_
#include "kernel/gpu/cuda_impl/cuda_ops/cuda_common.h"

template <typename T>
CUDA_LIB_EXPORT cudaError_t CalApplyAdamWithAmsgradV2(const size_t size, const int64_t batch_size, T *var, T *m, T *v,
                                                      T *vhat, T *beta1_power, T *beta2_power, const T *lr,
                                                      const T *grad, const T *beta1, const T *beta2, const T *epsilon,
                                                      T *output_var, T *output_m, T *output_v, T *output_vhat,
                                                      const uint32_t &device_id, cudaStream_t stream_ptr);

#endif  // MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_OPS_APPLY_ADAM_WITH_AMSGRAD_V2_IMPL_CUH_
